Analysis of variance for functional data / Jin-Ting Zhang.
Series: Chapman & Hall/CRC monographs on statistics and applied probabilityPublication details: London: CRC Press, 2014.Description: xxiii, 386 p. illustrationsISBN:- 9781439862735 (hardback : acidfree paper)
- 519.538 Q4
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519.536 Q51 Best practices in logistic regression / | 519.536 R1 Logistic regression: a primer/ | 519.536 R11 Regression and other stories/ | 519.538 Q4 Analysis of variance for functional data / | 519.54 Q6 Mathematical foundations of infinite-dimensional statistical models / | 519.542 Q3 Bayesian data analysis/ | 519.542 Q5 Bayesian networks: |
Includes bibliographical references (pages 369-380) and index.
"Preface Functional data analysis has been a popular statistical research topic for the last three decades. Functional data are often obtained via observing a number of subjects over time, space or other continua densely. They are frequently collected from various research areas, including audiology, biology, children's growth studies, ergonomics, environmentology, me- teorology, and women's health studies among others in the form of curves, surfaces, or other complex objects. Statistical inference for functional data generally refers to estimation and hypothesis testing about functional data. There are at least two monographs available in the literature which are devoted in estimation and classi
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